 Iterative label cleaning for transductive and semi-supervised few-shot
learningIEEE International Conference on Computer Vision (ICCV), 2020 |
 Revisiting Unsupervised Meta-Learning via the Characteristics of
Few-Shot TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
 Multi-scale Adaptive Task Attention Network for Few-Shot LearningInternational Conference on Pattern Recognition (ICPR), 2020 |
 Annotation-Efficient Untrimmed Video Action RecognitionACM Multimedia (ACM MM), 2020 |
 Mixture-based Feature Space Learning for Few-shot Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2020 |
 RNNP: A Robust Few-Shot Learning ApproachIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 |
 One Shot Learning for Speech SeparationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 |
 A Nested Bi-level Optimization Framework for Robust Few Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 Meta-Learning with Adaptive HyperparametersNeural Information Processing Systems (NeurIPS), 2020 |
 Learning to Learn Variational Semantic MemoryNeural Information Processing Systems (NeurIPS), 2020 |
 Generalized Few-shot Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020 |
 Few-shot Learning for Spatial RegressionMachine-mediated learning (ML), 2020 |
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 Improving Few-Shot Learning through Multi-task Representation Learning
TheoryEuropean Conference on Computer Vision (ECCV), 2020 |
 Fast Few-Shot Classification by Few-Iteration Meta-LearningIEEE International Conference on Robotics and Automation (ICRA), 2020 |
 Interventional Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2020 |
 Weak-shot Fine-grained Classification via Similarity TransferNeural Information Processing Systems (NeurIPS), 2020 |
 Self-Supervised Meta-Learning for Few-Shot Natural Language
Classification TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Information Theoretic Meta Learning with Gaussian ProcessesConference on Uncertainty in Artificial Intelligence (UAI), 2020 |
 A Survey on Machine Learning from Few SamplesPattern Recognition (Pattern Recognit.), 2020 |
 Class Interference RegularizationBritish Machine Vision Conference (BMVC), 2020 |
